Predictive

Data Analytics

We typically require historical data relevant to your objective (e.g., past sales, customer interactions, operational logs). Even if your data is messy or siloed, our first step is data engineering to clean and structure it for ML readiness.

A standard predictive analytics engagement takes 8 to 12 weeks from initial data audit to deployment. Complex enterprise integrations may take longer, but we prioritize delivering a functional MVP within the first 6 weeks.

Yes. We build API-first solutions designed to integrate seamlessly with your current tech stack, whether that's Salesforce, SAP, custom dashboards, or proprietary internal tools.

We use rigorous backtesting against historical data and cross-validation techniques. Post-deployment, we implement continuous monitoring to detect data drift and retrain models automatically to maintain high accuracy.